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008			150903s2010 xxu| o |||| 0|eng d
020			_a9780387887715 _99780387887715
024	7		_a10.1007/9780387887715 _2doi
035			_avtls000333254
039		9	_a201509030227 _bVLOAD _c201404130404 _dVLOAD _c201404092153 _dVLOAD _y201402041106 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA76.9.A25
100	1		_aGhorbani, Ali A. _eautor _9306013
245	1	0	_aNetwork Intrusion Detection and Prevention : _bConcepts and Techniques / _cby Ali A. Ghorbani, Wei Lu, Mahbod Tavallaee.
250			_aFirst.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvances in Information Security, _x1568-2633 ; _v47
500			_aSpringer eBooks
505	0		_aNetwork Attacks -- Detection Approaches -- Data Collection -- Theoretical Foundation of Detection -- Architecture and Implementation -- Alert Management and Correlation -- Evaluation Criteria -- Intrusion Response.
520			_aWith the complexity of today's networks, it is impossible to know you are actually secure. You can prepare your network's defenses, but what threats will be thrown at it, what combinations will be tried, and what directions they will come from are all unknown variables. Most medium and large-scale network infrastructures include multiple high-speed connections to the Internet and support many customer collaborative networks, thousands of internal users and various web servers. Many of these systems are faced with an ever-increasing likelihood of unplanned downtime due to various attacks and security breaches. In this environment of uncertainty, which is full of hackers and malicious threats, those systems that are the best at maintaining the continuity of their services (i.e., survive the attacks) enjoy a significant competitive advantage. Minimizing unexpected and unplanned downtime can be done by identifying, prioritizing and defending against misuse, attacks and vulnerabilities. Intrusion Detection and Prevention is a rapidly growing field that deals with detecting and responding to malicious network traffic and computer misuse. Intrusion detection is the process of identifying and (possibly) responding to malicious activities targeted at computing and network resources. Any hardware or software automation that monitors, detects or responds to events occurring in a network or on a host computer is considered relevant to the intrusion detection approach. Different intrusion detection systems provide varying functionalities and benefits. Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aLu, Wei. _eautor _9306014
700	1		_aTavallaee, Mahbod. _eautor _9306015
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387887708
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-88771-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c280817 _d280817